Analytical methods and database design: Implications for transplant researchers, 2005
Analytical methods and database design: Implications for transplant researchers, 2005
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DOI：
10.1111/j.1600-6143.2006.01277.x
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发表时间：
2006-05-01
影响因子：
8.8
通讯作者：
Schaubel, DE
中科院分区：
文献类型：
--
作者：
Levine, GN;McCullough, KP;Schaubel, DE
了解移植数据的收集方式对于了解如何使用数据至关重要。器官获取和移植网络/移植受者科学登记处 (OPTN/SRTR) 数据的收集和使用不断发展，从而提高了数据质量、及时性和范围，同时减轻了数据收集负担。尽管研究人员仍然需要注意，但对结果的额外确定完成并验证了现有数据。我们还考虑与队列选择、数据提交时间以及移植中心随访数据变化相关的分析问题。在选择用于分析的队列和数据源时，应仔细考虑所有这些要点。本文的第二部分介绍了 SRTR 采用的一些结果分析统计方法。队列和随访期选择问题引发了对结果定义、事件确定、审查和协变量调整的讨论。我们描述了计算未调整死亡率和生存概率以及通过回归模型估计协变量效应的方法。本文最后描述了 SRTR 开发的模拟分配模型，用于比较国家器官分配政策拟议变更的结果。
Understanding how transplant data are collected is crucial to understanding how the data can be used. The collection and use of Organ Procurement and Transplantation Network/Scientific Registry of Transplant Recipients (OPTN/SRTR) data continues to evolve, leading to improvements in data quality, timeliness and scope while reducing the data collection burden. Additional ascertainment of outcomes completes and validates existing data, although caveats remain for researchers. We also consider analytical issues related to cohort choice, timing of data submission, and transplant center variations in follow-up data. All of these points should be carefully considered when choosing cohorts and data sources for analysis.The second part of the article describes some of the statistical methods for outcome analysis employed by the SRTR. Issues of cohort and follow-up period selection lead into a discussion of outcome definitions, event ascertainment, censoring and covariate adjustment. We describe methods for computing unadjusted mortality rates and survival probabilities, and estimating covariate effects through regression modeling. The article concludes with a description of simulated allocation modeling, developed by the SRTR for comparing outcomes of proposed changes to national organ allocation policies.